1.2.3 Safe to install
Effortless Text Extraction with Image2Text by Thingking Land
Image2Text offers a seamless OCR experience, enabling users to convert images into editable text accurately and efficiently.
This application offers robust capabilities for extracting plain text from a variety of sources, including images (JPEG, PNG, GIF, TIFF, BMP, HEIC) and PDF files. Notably, the on-device text recognition feature enhances user privacy and functions without an internet connection. The app adeptly approximates text layout based on its original placement, maintaining key formatting elements such as indentation and removing unnecessary soft wraps.
A significant advantage is the automatic detection of relevant data, such as email addresses, phone numbers, web links, and street addresses, which enables seamless access to relevant applications with a single tap. Furthermore, an integrated text editor provides users with the opportunity to revise the recognized text prior to export. The application is compatible with iOS, iPadOS, and macOS platforms.
Step 1: Input Methods
- Select a photo from the Photos app.
- Choose one or more files via the Files app in iOS/iPadOS or a Finder-like browser on macOS.
- Utilize the camera to capture one or more images while automatically detecting document borders for cropping.
- On macOS and iPadOS, employ drag and drop functionality from other applications.
- Access the app directly when opening mail attachments or sharing data from Safari, Photos, Files, or cloud storage apps.
- Retrieve previously saved files from the local archive of this application.
- Paste images directly from the clipboard.
Step 2: Customization Options
- Utilize default settings for a straightforward experience or configure options such as indentation preservation, handling of soft wraps (insertion of artificial line breaks), and maximum blank lines.
- Manage multi-page and multi-file documents with options for header/footer removal and adjustment of blank lines per page break.
- Select whether to save inputs, outputs, or both.
- Specify a filename for saving or exporting the text output.
- View text in either detecting or editing mode based on user preference.
Step 3: Reviewing Recognized Text
The application facilitates text review on iOS/iPadOS with two-finger pinches to adjust font size. On macOS, users can utilize zoom buttons or trackpad gestures. Notably, portrait mode on iPhones results in smaller fonts compared to landscape orientation.
In data-detecting mode, actionable information is highlighted automatically:
- Selecting an email address prompts the Mail app to open.
- Tapping a phone number activates the Phone app.
- Selecting a web link directs users to Safari.
- Tapping a street address launches the Maps app.
Editing mode allows users to modify text using standard keyboard inputs and editing gestures such as copy/paste and undo/redo functions.
Step 4: Distribution of Recognized Text
The standard share button enables users to share via AirDrop, iMessage, email, cloud storage services, social media posts, printing options, or copying to other applications supporting plain text files. For macOS users, an export button allows for saving files in any desired location through a Finder-like interface. The application also supports text-to-speech functionality when enabled in Accessibility Settings.
The current version specializes in recognizing primarily printed English text displayed upright and exhibits diminished accuracy with handwritten inputs.
This app offers auto-renewable subscriptions granting full access to all features. A complimentary introductory trial period is available before any billing occurs. Further information can be found in the terms of use at the official website. The application supports universal purchase; thus a single subscription covers usage across Mac, iPhone, iPad, and iPod touch devices.
Importantly, an internet connection is not required for standard functionality; it is only necessary initially and once per subscription period for validation purposes from the App Store.
Overview
Image2Text on device OCR is a Freeware software in the category Business developed by Thingking Land.
The latest version of Image2Text on device OCR is 1.2.3, released on 12/27/2024. It was initially added to our database on 12/27/2024.
Image2Text on device OCR runs on the following operating systems: iOS.
Users of Image2Text on device OCR gave it a rating of 5 out of 5 stars.
Pros
- Offers high accuracy in text recognition from images.
- Supports multiple languages, making it versatile for different users.
- User-friendly interface that's easy to navigate.
- Can function offline once installed, providing flexibility for users without internet access.
- Fast processing speed, allowing quick conversion of images to text.
- Includes features for editing and exporting recognized text easily.
- Regular updates and improvements based on user feedback.
Cons
- May struggle with text on complex backgrounds or unusual fonts.
- Some users may experience issues with formatting after text extraction.
- The mobile version may have limited features compared to the desktop version.
- In-app advertisements can be distracting for users on the free version.
- User support may not be as responsive during peak times.
FAQ
What is Image2Text?
Image2Text is an on-device optical character recognition (OCR) tool developed by Thingking Land that converts images of text into editable and searchable digital text.
How does Image2Text work?
Image2Text uses advanced image processing algorithms and machine learning techniques to recognize and extract text from images taken by your device's camera or imported from your gallery.
Is Image2Text available for both Android and iOS?
Yes, Image2Text is available on both Android and iOS devices, allowing users to utilize its OCR capabilities across different platforms.
Do I need an internet connection to use Image2Text?
No, Image2Text operates entirely on-device, so you do not require an internet connection to convert images to text.
Can Image2Text recognize handwriting?
Image2Text is primarily optimized for printed text, but it may also interpret some clear handwriting with varying accuracy depending on the clarity and style of writing.
What file types does Image2Text support for input?
Image2Text supports common image formats including JPEG, PNG, and BMP for processing input images.
Is there a limit to the size or length of the image I can process?
While there is no strict limit, the performance may vary based on image resolution and complexity. For optimal results, use images that are clear and not overly large.
Can I edit the text after extraction?
Yes, once the text is extracted, you can edit the resulting digital text directly within the app before saving or sharing it.
Are there any privacy concerns with using Image2Text?
Since Image2Text processes all data on your device without sending it to external servers, it prioritizes user privacy and security.
How can I download or purchase Image2Text?
You can download Image2Text from the Google Play Store for Android devices or the Apple App Store for iOS devices.
Peter Salakani
I'm Peter, a software reviews author at UpdateStar and content specialist with a keen focus on usability and performance. With a background in both software development and content creation, I bring a unique perspective to evaluating and discussing general software topics. When I'm not reviewing software, I enjoy staying updated on the latest tech trends, experimenting with new applications, and finding innovative solutions to everyday tech challenges.
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